Qwen3.6 27B AEON Ultimate Uncensored Multimodal NVFP4 MTP XS

Qwen3.6

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released April 2026context N/A27B params

A community fine-tune of Qwen's 27B architecture with censorship filters removed, published by AEON-7. It handles text-in, text-out tasks and ships in safetensors format with NVFP4 quantization, which trades some precision for reduced memory footprint. The 'uncensored' framing means it will engage with content that aligned base models typically refuse, which carries obvious responsibility considerations for deployers.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Creative Writing

Strong

Long Context

Qwen3.6 27B AEON Ultimate Uncensored Multimodal NVFP4 MTP XS

Qwen3.6

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released April 2026context N/A27B params

A community fine-tune of Qwen's 27B architecture with censorship filters removed, published by AEON-7. It handles text-in, text-out tasks and ships in safetensors format with NVFP4 quantization, which trades some precision for reduced memory footprint. The 'uncensored' framing means it will engage with content that aligned base models typically refuse, which carries obvious responsibility considerations for deployers.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Creative Writing

Strong

Long Context

Glossary

AlignedA model trained to behave safely and follow human values through techniques like safety filtering and refusal of harmful requests.ArchitectureThe underlying structural design of a neural network that defines how data flows through layers and components.Community Fine-TuneA model variant created and shared by the community rather than the original model creators, often with custom modifications.Fine-TuneA model created by training an existing pre-trained model on new data to specialize it for specific tasks or behaviors.Memory FootprintThe amount of RAM or storage space a model requires to run, which is critical for deployment on resource-constrained devices.PrecisionThe level of numerical detail a model uses to represent its internal values; higher precision means more accurate calculations but requires more memory.QuantizationReducing a model's numerical precision (e.g., from 16-bit to 4-bit) to shrink memory usage and speed up inference.SafetensorsA safe, fast file format for storing model weights, designed to prevent code execution vulnerabilities.Safetensors FormatA secure and efficient file format for storing model weights that prioritizes safety and speed when loading models.Text-In, Text-OutA model that accepts text as input and produces text as output, without support for images, audio, or other data types.UncensoredA model without built-in safety filters or content restrictions, allowing it to generate responses on any topic without refusal.

Capabilities

Capabilities

Use Case Fit

Glossary